Dr. Ervin Gubin Moung
Dr. Ervin Gubin Moung
Fakulti Komputeran Dan Informatik · Pusat Pengurusan Penyelidikan, UMS
ervin@ums.edu.my
Summary

Dr. Ervin Gubin Moung is a distinguished researcher at Fakulti Komputeran Dan Informatik, University Malaysia Sabah. Their research focuses on Computer Vision and Pattern Recognition, with a current focus on Public Health , Smart Health, Agriculture , Food Security, and Environmental Sustainability. Over his career, Dr. Moung has secured and led research projects totaling over MYR 1.3 million in grants from agencies such as PETRONAS, the Malaysian Ministry of Higher Education, and UMS, s internal research fund. His notable projects include the PETRONAS Advanced Analytics Framework for Resource Optimization (PETRO-AFRO Framework), algae performance prediction tools, and spectrally adapted algorithms for assessing beef cattle health. Since July 2022, he has also served as Deputy Director at UMS, s Research Management Centre, overseeing all operational activities. He is also a member of IEEE. Dr. Moung, s contributions include innovations such as hyperspectral imaging for plastic waste detection, solar-powered black pepper dryers, and sentiment analysis tools for business analytics. With 84 publications, 526 citations, and a Scopus h-index of 13, Dr. Moung is a respected researcher committed to advancing computer engineering and interdisciplinary research excellence. He can be contacted at ervin@ums.edu.my. (18 March 2026) .

As a member of Pusat Pengurusan Penyelidikan, they contribute significantly to the academic and research community at UMS through their expertise and dedication to advancing knowledge in their field.

Dr. Ervin Gubin Moung holds Ijazah Doktor Falsafah Kejuruteraan Komputer from Universiti Malaysia Sabah , among other qualifications, and has established themselves as a respected expert in their field.

Education
Ijazah Doktor Falsafah Kejuruteraan Komputer
Sarjana Kejuruteraan (kejuruteraan Komputer)
Ijazah Sarjana Muda Kejuruteraan Dengan Kepujian (kejuruteraan Komputer)
Stats
Publications:
84
Projects:
9
Grants:
RM 1,376,480.00
Scopus Metrics
Scopus Author ID:
36548768300
H-Index:
13
Documents:
84
Citations:
527
Research Interests
COMPUTER ENGINEERING - Neural Network Computer
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Deep Learning for Machine Learning
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Logic Programming in AI and Machine Learning
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Digital Image Processing Algorithm and Techniques
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Pattern and Image Recognition
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Predictive Analytics
INFORMATION AND COMMUNICATION TECHNOLOGY (ICT) - Logic Programming
Latest Grants
Petronas Advanced Analytics Framework For Resource Optimization (petro-afro Framework): Driving Operational Excellence Through Data Science And Artificial Intelligence
Algae Performance Prediction And Prescriptive Tools
Formulating A Spectrally Adapted One-stage Detection Algorithm For Assessing Beef Cattle Health With Pseudo-rgb And Multispectral Bands
New Scattered Data Interpolation Scheme Using Quasi Cubic Triangular Patches For Highly Accurate Rgb Image Interpolation And Fruits Quality Inspection
Latest Publications
Scattered Data Interpolation And Approximation Using Machine Learning: K-nn And Dt Approaches
Elliptic Pde-based Approach For Smooth And Customizable Vase Modelling
Machine Learning Approaches In Scattered Data Approximation: A Comparative Study Of Gpr And Svr
Design And Development Of A Volumetric Smart Feeder For Fish Meal Production Line
A Comparative Study Of Segmentation Techniques For Automated Fish Counting
Previous Appointments
Administrative Positions